Dalei Wang
About Dalei Wang
Dalei Wang is a Team Lead at Hinge Health, specializing in high-performance software development and machine learning. With a strong academic background, including a Ph.D. from Stanford University, he has held various roles in software development and research across multiple organizations.
Work at Hinge Health
Dalei Wang has been serving as Team Lead at Hinge Health since 2019. In this role, he focuses on producing high-performance, bug-free code through careful design and thorough testing. His leadership involves guiding a team to ensure the successful development and implementation of software solutions that align with the company's objectives.
Previous Experience at Algolux
Before joining Hinge Health, Dalei Wang worked at Algolux as a Technical Lead for 10 months in 2020. His responsibilities included overseeing technical projects and ensuring the delivery of high-quality software solutions. He also held the position of Imaging Researcher/Software Developer at Algolux from 2014 to 2016, where he contributed to imaging technologies.
Experience at wrnch
Dalei Wang was employed at wrnch as a Senior Software Developer from 2016 to 2019. During his three years there, he developed software solutions that enhanced the company's capabilities in computer vision and machine learning, contributing to the advancement of their technology.
Education and Expertise
Dalei Wang holds a Doctor of Philosophy (Ph.D.) in Computational and Applied Mathematics from Stanford University, where he studied from 2008 to 2013. He also earned a Master of Science (M.Sc.) in the same field from Stanford from 2006 to 2008 and a Bachelor of Applied Science (B.A.Sc.) in Computer Engineering from the University of Waterloo from 2001 to 2006. His expertise includes parallel computing on heterogeneous platforms and developing optimized scientific computation programs targeting GPUs.
Research Experience
Dalei Wang has a background in research, having worked as a Graduate Research Assistant at Stanford University from 2006 to 2013. He also served as an Undergraduate Research Assistant at the University of Waterloo in various capacities from 2002 to 2006. His research experience includes contributions to medical instrument analysis and machine intelligence.